# Smart Cities MCP Server

> Use this tool when you need to integrate and manage IoT device data from smart city infrastructure, such as public lighting, water, and gas meters, to enable data-driven decision making and automation. It solves problems related to data silos and fragmentation by providing a unified interface for querying and managing device data via the Model Context Protocol. Ideal for urban planning, resource optimization, and smart city initiatives, it accepts device data as input and outputs actionable insights and control signals.

Canonical page: https://skillsregistry.net/skills/wesleyribeirobarbosa-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/wesleyribeirobarbosa-mcp-server

## Description

Enables AI agents to interact with IoT device data from a smart city, including public lighting, water, and gas meters. Supports querying and management via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h54pfrq480)
- **Repository:** <https://github.com/wesleyribeirobarbosa/mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "wesleyribeirobarbosa-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wesleyribeirobarbosa-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wesleyribeirobarbosa-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
